Internacional
## # A tibble: 3 × 8
## area `2015` `2016` `2017` `2018` `2019` `2020` `2021`
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 Advanced 4.55 5.24 5.17 3.88 3.61 6.83 13.2
## 2 Brazil -1.57 -2.82 -1.11 1.37 4.75 9.24 8.60
## 3 Latin America 7.38 5.53 6.50 6.06 5.10 4.36 6.57
Brasil
Inflação
Houing
## # A tibble: 9 × 3
## ts_year total_sales chg
## <dbl> <dbl> <dbl>
## 1 2014 57397 NA
## 2 2015 46902 -0.183
## 3 2016 42294 -0.0982
## 4 2017 44887 0.0613
## 5 2018 51257 0.142
## 6 2019 53499 0.0437
## 7 2020 59130 0.105
## 8 2021 74352 0.257
## 9 2022 87655 0.179
## # A tibble: 204 × 9
## # Groups: variable [2]
## ts_date category variable value variable_label ts_year
## <date> <chr> <chr> <dbl> <chr> <dbl>
## 1 2014-01-01 supply market_rate NA Market-rate Development 2014
## 2 2014-01-01 supply affordable NA Affordable (CVA) 2014
## 3 2014-02-01 supply market_rate NA Market-rate Development 2014
## 4 2014-02-01 supply affordable NA Affordable (CVA) 2014
## 5 2014-03-01 supply market_rate NA Market-rate Development 2014
## 6 2014-03-01 supply affordable NA Affordable (CVA) 2014
## 7 2014-04-01 supply market_rate NA Market-rate Development 2014
## 8 2014-04-01 supply affordable NA Affordable (CVA) 2014
## 9 2014-05-01 supply market_rate NA Market-rate Development 2014
## 10 2014-05-01 supply affordable NA Affordable (CVA) 2014
## ts_month ts_quarter chg
## <dbl> <dbl> <dbl>
## 1 1 1 NA
## 2 1 1 NA
## 3 2 1 NA
## 4 2 1 NA
## 5 3 1 NA
## 6 3 1 NA
## 7 4 2 NA
## 8 4 2 NA
## 9 5 2 NA
## 10 5 2 NA
## # … with 194 more rows
## # A tibble: 204 × 9
## # Groups: variable [2]
## ts_date category variable value variable_label ts_year
## <date> <chr> <chr> <dbl> <chr> <dbl>
## 1 2014-01-01 new_units market_rate NA Market-rate Development 2014
## 2 2014-01-01 new_units affordable NA Affordable (CVA) 2014
## 3 2014-02-01 new_units market_rate NA Market-rate Development 2014
## 4 2014-02-01 new_units affordable NA Affordable (CVA) 2014
## 5 2014-03-01 new_units market_rate NA Market-rate Development 2014
## 6 2014-03-01 new_units affordable NA Affordable (CVA) 2014
## 7 2014-04-01 new_units market_rate NA Market-rate Development 2014
## 8 2014-04-01 new_units affordable NA Affordable (CVA) 2014
## 9 2014-05-01 new_units market_rate NA Market-rate Development 2014
## 10 2014-05-01 new_units affordable NA Affordable (CVA) 2014
## ts_month ts_quarter acum12m
## <dbl> <dbl> <dbl>
## 1 1 1 NA
## 2 1 1 NA
## 3 2 1 NA
## 4 2 1 NA
## 5 3 1 NA
## 6 3 1 NA
## 7 4 2 NA
## 8 4 2 NA
## 9 5 2 NA
## 10 5 2 NA
## # … with 194 more rows
## # A tibble: 18 × 4
## # Groups: variable [2]
## ts_year variable total_sales chg
## <dbl> <chr> <dbl> <dbl>
## 1 2014 affordable NA NA
## 2 2014 market_rate NA NA
## 3 2015 affordable 21354 NA
## 4 2015 market_rate 4216 NA
## 5 2016 affordable 25205 0.180
## 6 2016 market_rate 4483 0.0633
## 7 2017 affordable 29220 0.159
## 8 2017 market_rate 3160 -0.295
## 9 2018 affordable 31588 0.0810
## 10 2018 market_rate 6791 1.15
## 11 2019 affordable 36017 0.140
## 12 2019 market_rate 11289 0.662
## 13 2020 affordable 32003 -0.111
## 14 2020 market_rate 5745 -0.491
## 15 2021 affordable 39713 0.241
## 16 2021 market_rate 20632 2.59
## 17 2022 affordable 37674 -0.0513
## 18 2022 market_rate 24735 0.199
## # A tibble: 204 × 8
## ts_date category variable value variable_label ts_year
## <date> <chr> <chr> <dbl> <chr> <dbl>
## 1 2014-01-01 supply market_rate NA Market-rate Development 2014
## 2 2014-01-01 supply affordable NA Affordable (CVA) 2014
## 3 2014-02-01 supply market_rate NA Market-rate Development 2014
## 4 2014-02-01 supply affordable NA Affordable (CVA) 2014
## 5 2014-03-01 supply market_rate NA Market-rate Development 2014
## 6 2014-03-01 supply affordable NA Affordable (CVA) 2014
## 7 2014-04-01 supply market_rate NA Market-rate Development 2014
## 8 2014-04-01 supply affordable NA Affordable (CVA) 2014
## 9 2014-05-01 supply market_rate NA Market-rate Development 2014
## 10 2014-05-01 supply affordable NA Affordable (CVA) 2014
## ts_month ts_quarter
## <dbl> <dbl>
## 1 1 1
## 2 1 1
## 3 2 1
## 4 2 1
## 5 3 1
## 6 3 1
## 7 4 2
## 8 4 2
## 9 5 2
## 10 5 2
## # … with 194 more rows
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